To swim or not to swim: a population-level model of Xenopus tadpole decision making and locomotor behaviour

Roman Borisyuk, Robert Merrison-Hort, Steve R. Soffe, Stella Koutsikou, Wen-Chang Li

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We present a detailed computational model of interacting neuronal populations that mimic the hatchling Xenopus tadpole nervous system. The model includes four sensory pathways, integrators of sensory information, and a central pattern generator (CPG) network. Sensory pathways of different modalities receive inputs from an “environment”; these inputs are then processed and integrated to select the most appropriate locomotor action. The CPG populations execute the selected action, generating output in motor neuron populations. Thus, the model describes a detailed and biologically plausible chain of information processing from external signals to sensors, sensory pathways, integration and decision-making, action selection and execution and finally, generation of appropriate motor activity and behaviour. We show how the model produces appropriate behaviours in response to a selected scenario, which consists of a sequence of “environmental” signals. These behaviours might be relatively complex due to noisy sensory pathways and the possibility of spontaneous actions.
Original languageEnglish
Pages (from-to)3-14
JournalBioSystems
Volume161
Early online date15 Jul 2017
DOIs
Publication statusPublished - Nov 2017

Keywords

  • Wilson-Cowan model
  • Sensory pathways
  • Central pattern generator
  • Swimming behaviour
  • Struggling behaviour

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